Reload just landed $2.275 million in seed funding to solve one of enterprise AI's messiest problems: making AI agents actually work together. The startup is betting that shared memory infrastructure can turn isolated AI agents into coordinated teams, and it's launching its first AI employee, Epic, to prove it. Led by Anthemis, the round signals growing investor appetite for the picks-and-shovels layer beneath the AI agent hype.
Reload is stepping into the chaotic world of AI agents with a fresh approach: instead of building yet another chatbot, the startup wants to create the memory layer that helps AI agents remember what each other learned. The company announced it closed a $2.275 million seed round led by Anthemis, while simultaneously launching Epic, its first AI employee built on top of that shared memory infrastructure.
The timing couldn't be better. Enterprises are drowning in AI agents that don't talk to each other. You've got a customer service bot that forgets what the sales agent promised, a scheduling assistant that has no clue what the project management agent just prioritized, and data analysts that keep relearning the same company context. It's the enterprise software sprawl problem all over again, except now it's happening at AI speed.
"We're building the connective tissue between AI agents," Reload founder explained in materials shared with TechCrunch. The platform acts as a shared knowledge base that AI agents can read from and write to, creating organizational memory that persists across different AI systems. Think of it as the difference between having a team of contractors who show up cold every day versus employees who actually remember yesterday's meetings.
Epic, Reload's first AI employee, serves as both product and proof of concept. The agent demonstrates how shared memory infrastructure changes AI behavior - instead of starting from scratch with every interaction, Epic builds on accumulated context about company processes, customer preferences, and team workflows. It's the showcase for what Reload believes every enterprise AI agent should be able to do.
The seed funding from , a venture firm known for backing financial technology infrastructure, suggests the market is starting to differentiate between AI agent builders and AI agent infrastructure providers. While hundreds of startups race to build specialized AI employees for every job function, Reload is placing a different bet: that the real value sits in the plumbing that makes those agents useful at scale.
